Work

STARRED: a two-channel deconvolution method with Starlet regularization

Year: 2023

Type: article

Abstract: The spatial resolution of astronomical images is limited by atmospheric turbulence and diffraction in the telescope optics, resulting in blurred images.This makes it difficult to accurately measure the brightness of blended objects because the contributions from adjacent objects are mixed in a time-variable manner due to changes in the atmospheric conditions.However, this effect can be corrected by characterizing the Point Spread Function (PSF), which describes how a point source is blurred on a detector.This function can be estimated from the stars in the field of view, which provides a natural sampling of the PSF across the entire field of view.

Source: The Journal of Open Source Software

DOI: 10.21105/joss.05340

Authors: Kevin Michalewicz, Martin Millon, Frédéric Dux, Frédéric Courbin

Institutions: Imperial College London, École Polytechnique Fédérale de Lausanne, Kavli Institute for Particle Astrophysics and Cosmology, Stanford University

Language: English

Topic: Adaptive optics and wavefront sensing

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: diamond

Funders: National Science Foundation, Imperial College London, European Commission, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Awards: G3418879279, G434337789, G685589434